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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 4045 in Layer 5

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 1.9621. Min Act: -0.0001

Data Index: 143865 (C4 (Web Text))

Max Activating Token Index: 320

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Text #1

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Max Act: 1.8474. Min Act: -0.0001

Data Index: 1067613 (C4 (Web Text))

Max Activating Token Index: 454

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Text #2

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Max Act: 1.7687. Min Act: -0.0001

Data Index: 744175 (C4 (Web Text))

Max Activating Token Index: 307

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Text #3

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Max Act: 1.7400. Min Act: -0.0001

Data Index: 1188244 (C4 (Web Text))

Max Activating Token Index: 422

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Text #4

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Data Index: 164753 (C4 (Web Text))

Max Activating Token Index: 787

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Text #5

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Data Index: 1350847 (C4 (Web Text))

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Text #6

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Data Index: 1166486 (C4 (Web Text))

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Text #7

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Data Index: 237916 (C4 (Web Text))

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Text #8

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Data Index: 1430535 (Python Code)

Max Activating Token Index: 187

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Text #9

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Data Index: 1428449 (Python Code)

Max Activating Token Index: 643

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Text #10

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Data Index: 802542 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 356636 (C4 (Web Text))

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Text #13

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Data Index: 1357842 (C4 (Web Text))

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Text #14

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Data Index: 194034 (C4 (Web Text))

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Text #15

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Data Index: 1553840 (Python Code)

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Text #16

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Data Index: 977210 (C4 (Web Text))

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Text #17

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Data Index: 112132 (C4 (Web Text))

Max Activating Token Index: 287

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Text #18

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Max Act: 1.3774. Min Act: -0.0001

Data Index: 484652 (C4 (Web Text))

Max Activating Token Index: 541

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Text #19

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Data Index: 137232 (C4 (Web Text))

Max Activating Token Index: 234

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